Essays about: "MCMC"
Showing result 11 - 15 of 33 essays containing the word MCMC.
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11. Subsampling Strategies for Bayesian Variable Selection and Model Averaging in GLM and BGNLM
University essay from Stockholms universitet/Statistiska institutionenAbstract : Bayesian Generalized Nonlinear Models (BGNLM) offer a flexible alternative to GLM while still providing better interpretability than machine learning techniques such as neural networks. In BGNLM, the methods of Bayesian Variable Selection and Model Averaging are applied in an extended GLM setting. READ MORE
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12. Delayed-acceptance approximate Bayesian computation Markov chain Monte Carlo: faster simulation using a surrogate model
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : The thesis introduces an innovative way of decreasing the computational cost of approximate Bayesian computation (ABC) simulations when implemented via Markov chain Monte Carlo (MCMC). Bayesian inference has enjoyed incredible success since the beginning of 1990’s thanks to the re-discovery of MCMC procedures, and the availability of performing personal computers. READ MORE
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13. Calibration of Breast Cancer Natural History Models Using Approximate Bayesian Computation
University essay from KTH/Matematisk statistikAbstract : Natural history models for breast cancer describe the unobservable disease progression. These models can either be fitted using likelihood-based estimation to data on individual tumour characteristics, or calibrated to fit statistics at a population level. READ MORE
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14. Joint Calibration of a Cladding Oxidation and a Hydrogen Pick-up Model for Westinghouse Electric Sweden AB
University essay fromAbstract : Knowledge regarding a nuclear power plants potential and limitations is of utmost importance when working in the nuclear field. One way to extend the knowledge is using fuel performance codes that to its best ability mimics the real-world phenomena. READ MORE
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15. Reconstruction of past European land cover from pollen data: using spatial statistics and Crank-Nicolson Monte Carlo
University essay from Lunds universitet/Matematisk statistikAbstract : Given a pollen data set from Europe over a time period, the aim is to reconstruct the past land cover by interpolating from the pollen data values to a continuous map. The data is on compositional form with three vegetation categories; coniferous forest, broadleaved forest and open land. READ MORE